NDLI: Some Results on Stochastic Resonance in One-Bit Quantizers

Content Provider	IEEE Xplore Digital Library
Author	Talebi, F. TabatabaVakili, V. Adibi, M.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran (Talebi, F.; TabatabaVakili, V.; Adibi, M.)
Abstract	Stochastic Resonance (SR) is a phenomenon that occurs in certain non-linear systems in which noise can be used to improve the system response [L. Gammaitoni, 1998]. A recent approach to quantizer design has employed Stochastic Resonance by randomizing the threshold of the quantizer (Stochastic Thresholding). Stochastic Thresholding has shown a good performance in detection of weak signals buried in heavy noise even in -50 dB SNR. In fact, Stochastic Thresholding helps ML estimation by some Fisher Information gain given in the quantizer. Driven by this motivation, in this paper we obtain new results on Stochastic Resonance in one-bit quantizers. Also, some discussions on threshold Probability Distribution Function (PDF) especially on the relation of the mean and the variance of PDF with a constant signal which we intend to estimate are implemented.
Starting Page	329
Ending Page	331
File Size	189713
Page Count	3
File Format	PDF
ISBN	9781424412358
DOI	10.1109/ICSPC.2007.4728322
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-24
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Stochastic processes Stochastic Thresholding Information analysis Strontium Stochastic resonance Fisher Information Additive white noise Signal processing Weibull distribution One-bit Quantizers Signal analysis Analysis of variance Signal detection
Content Type	Text
Resource Type	Article

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